Dataset Information

Comparison of attention process training and activity-based attention training after acquired brain injury: A randomized controlled study.

ABSTRACT:

Objectives

To compare the effects of 2 interventions for attention deficits in people with acquired brain injury, Attention Process Training (APT) and Activity--based Attention Training (ABAT), on activity and participation.

Design

Randomized controlled study.

Patients

The study included 51 patients in out-patient rehabilitation 4-12 months after stroke or traumatic brain injury.

Methods

Intervention: 20 h of attention training.

Measurements

Assessment of Work Performance (AWP), Work Ability Index (WAI), Canadian Occupational Performance Measure (COPM), and Rating Scale of Attentional Behavior (RSAB).

Results

Between-group comparisons showed significantly improved process skills after APT: Mental Energy (p = 0.000, ES = 1.84), Knowledge (p = 0.003, ES = 1.78), Temporal Organization (p = 0.000, ES=1.43) and Adaptation (p = 0.001, ES = 1.59). For within-group comparisons significant improvement was found between pre- and post-measures for both groups on COPM Performance (APT: p = 0.001, ES=1.85; ABAT: p = 0.001, ES = 1.84) and Satisfaction (APT: p = 0.000, ES=1.92; ABAT: p = 0.000, ES = 2.40) and RSAB Total Score (ABAT: p = 0.027, ES = 0.81; APT: p = 0.007, ES = 1.03).

Conclusion

We found significant differences favouring APT before ABAT for process skills (AWP). There were no discernible differences in global measures of activity between the 2 approaches: both groups improved significantly, as indicated by ES. The results of this study highlight the complexities of influencing behaviour on the level of body functions while measuring effects on activity.

SUBMITTER: Sargenius Landahl K

PROVIDER: S-EPMC8638745 | biostudies-literature | 2021 Oct

REPOSITORIES: biostudies-literature

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Publications

Comparison of attention process training and activity-based attention training after acquired brain injury: A randomized controlled study.

Sargénius Landahl Kristina K Schult Marie-Louise ML Borg Kristian K Bartfai Aniko A

Journal of rehabilitation medicine 20211028 10 (October)

<h4>Objectives</h4>To compare the effects of 2 interventions for attention deficits in people with acquired brain injury, Attention Process Training (APT) and Activity--based Attention Training (ABAT), on activity and participation.<h4>Design</h4>Randomized controlled study.<h4>Patients</h4>The study included 51 patients in out-patient rehabilitation 4-12 months after stroke or traumatic brain injury.<h4>Methods</h4>Intervention: 20 h of attention training.<h4>Measurements</h4>Assessment of Work ...[more]

PMID: 34554264

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Project description:INTRODUCTION:Childhood inattention has been linked with poor academic outcomes, and increased lifetime social, occupational and psychiatric morbidity. Children with an acquired brain injury (ABI) are particularly susceptible to attention deficits and may benefit from interventions aimed at enhancing attention. The primary objective of this study is to evaluate the short-term efficacy of the TALI Train programme, compared with a placebo, on the outcome of attention in children with ABI. METHODS AND ANALYSIS:The study is a parallel, double-blind, randomised controlled trial. Participants will consist of 80 children with a diagnosis of ABI aged 4-9 years 11 months. Participants will be randomly allocated to either (1) TALI Train (intervention group), an adaptive game-based attention training programme, or (2) a non-adaptive placebo programme (control group). Both programmes are delivered on a touchscreen tablet, and children complete five 20 min sessions per week for a 5-week period at home. Assessment of selective, sustained and executive attention (primary outcomes), and behavioural attention, working memory, social skills and mathematics ability (secondary outcomes) will occur at baseline, post-training, and at 3-month and 6-month follow-up to assess immediate and long-term efficacy of TALI Train compared with placebo. Assessments will be completed at the Royal Children's Hospital in Melbourne, Australia. All assessments and analyses will be undertaken by researchers blinded to group membership. Latent growth curve modelling will be employed to examine primary and secondary outcomes. ETHICS AND DISSEMINATION:Ethics approval has been obtained from the Royal Children's Hospital Human Research Ethics Committee (HREC) (38132) and the Monash University HREC (17446). Results will be disseminated through peer-reviewed journals, conference presentations, media outlets, the internet and various community/stakeholder activities. TRIAL REGISTRATION NUMBER:ACTRN12619000511134.

Project description:BackgroundThe number of people with cognitive deficits and diseases, such as stroke, dementia, or attention-deficit/hyperactivity disorder, is rising due to an aging, or in the case of attention-deficit/hyperactivity disorder, a growing population. Neurofeedback training using brain-computer interfaces is emerging as a means of easy-to-use and noninvasive cognitive training and rehabilitation. A novel application of neurofeedback training using a P300-based brain-computer interface has previously shown potential to improve attention in healthy adults.ObjectiveThis study aims to accelerate attention training using iterative learning control to optimize the task difficulty in an adaptive P300 speller task. Furthermore, we hope to replicate the results of a previous study using a P300 speller for attention training, as a benchmark comparison. In addition, the effectiveness of personalizing the task difficulty during training will be compared to a nonpersonalized task difficulty adaptation.MethodsIn this single-blind, parallel, 3-arm randomized controlled trial, 45 healthy adults will be recruited and randomly assigned to the experimental group or 1 of 2 control groups. This study involves a single training session, where participants receive neurofeedback training through a P300 speller task. During this training, the task's difficulty is progressively increased, which makes it more difficult for the participants to maintain their performance. This encourages the participants to improve their focus. Task difficulty is either adapted based on the participants' performance (in the experimental group and control group 1) or chosen randomly (in control group 2). Changes in brain patterns before and after training will be analyzed to study the effectiveness of the different approaches. Participants will complete a random dot motion task before and after the training so that any transfer effects of the training to other cognitive tasks can be evaluated. Questionnaires will be used to estimate the participants' fatigue and compare the perceived workload of the training between groups.ResultsThis study has been approved by the Maynooth University Ethics Committee (BSRESC-2022-2474456) and is registered on ClinicalTrials.gov (NCT05576649). Participant recruitment and data collection began in October 2022, and we expect to publish the results in 2023.ConclusionsThis study aims to accelerate attention training using iterative learning control in an adaptive P300 speller task, making it a more attractive training option for individuals with cognitive deficits due to its ease of use and speed. The successful replication of the results from the previous study, which used a P300 speller for attention training, would provide further evidence to support the effectiveness of this training tool.Trial registrationClinicalTrials.gov NCT05576649; https://clinicaltrials.gov/ct2/show/NCT05576649.International registered report identifier (irrid)DERR1-10.2196/46135.

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Project description:Background and objectivesFatigue and sleep disturbance are debilitating problems following brain injury and there are no established treatments. Building on demonstrated efficacy of blue light delivered via a lightbox in reducing fatigue and daytime sleepiness after TBI, this study evaluated the efficacy of a novel in-home light intervention in alleviating fatigue, sleep disturbance, daytime sleepiness and depressive symptoms, and in improving psychomotor vigilance and participation in daily productive activity, following injury METHODS: The impact of exposure to a dynamic light intervention (Treatment) was compared to usual lighting (Control) in a randomized within-subject, crossover trial. Outcomes were fatigue (primary outcome), daytime sleepiness, sleep disturbance, insomnia symptoms, psychomotor vigilance, mood and activity levels. Participants (N = 24, M ± SDage = 44.3 ± 11.4) had mild-severe TBI or stroke > 3 months previously, and self-reported fatigue (Fatigue Severity Scale ≥ 4). Following 2-week baseline, participants completed each condition for 2 months in counter-balanced order, with 1-month follow-up. Treatment comprised daytime blue-enriched white light (CCT > 5000 K) and blue-depleted light (< 3000 K) 3 h prior to sleep.ResultsRandom-effects mixed-model analysis showed no significantly greater change in fatigue on the Brief Fatigue Inventory during Treatment, but a medium effect size of improvement (p = .33, d = -0.42). There were significantly greater decreases in sleep disturbance (p = .004), insomnia symptoms (p = .036), reaction time (p = .004) and improvements in productive activity (p = .005) at end of Treatment relative to Control, with large effect sizes (d > 0.80). Changes in other outcomes were non-significant.ConclusionsThis pilot study provides preliminary support for in-home dynamic light therapy to address sleep-related symptoms in acquired brain injury.Trial registrationThis trial was registered with the Australian and New Zealand Clinical Trials Registry on 13 June 2017, www.anzctr.org.au , ACTRN12617000866303.

Dataset Information

Comparison of attention process training and activity-based attention training after acquired brain injury: A randomized controlled study.

Objectives

Design

Patients

Methods

Measurements

Results

Conclusion

Publications

Comparison of attention process training and activity-based attention training after acquired brain injury: A randomized controlled study.

Similar Datasets

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